„John Ioannidis“ – Versionsunterschied
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==Research findings== |
==Research findings== |
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Ioannidis's 2005 paper "Why Most Published Research Findings Are False"<ref name=Ioannidis2005>{{Cite journal | last1 = Ioannidis | first1 = J. P. A. | authorlink1 = John P. A. Ioannidis| title = Why Most Published Research Findings Are False | journal = PLoS Medicine | volume = 2 | issue = 8 | pages = e124 | year = 2005 | pmid = 16060722 | pmc = 1182327 | doi = 10.1371/journal.pmed.0020124}}</ref> |
Ioannidis's 2005 paper "Why Most Published Research Findings Are False"<ref name=Ioannidis2005>{{Cite journal | last1 = Ioannidis | first1 = J. P. A. | authorlink1 = John P. A. Ioannidis| title = Why Most Published Research Findings Are False | journal = PLoS Medicine | volume = 2 | issue = 8 | pages = e124 | year = 2005 | pmid = 16060722 | pmc = 1182327 | doi = 10.1371/journal.pmed.0020124}}</ref> has been the most downloaded technical paper from the journal ''[[PLoS Medicine]]''.<ref>{{Cite news |
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has been the most downloaded technical paper from the journal ''[[PLoS Medicine]]''.<ref>{{Cite news |
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| author = [[Robert Lee Hotz]] |
| author = [[Robert Lee Hotz]] |
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| title = Most Science Studies Appear to Be Tainted By Sloppy Analysis |
| title = Most Science Studies Appear to Be Tainted By Sloppy Analysis |
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In another 2005 paper, Ioannidis analyzed "49 of the most highly regarded research findings in medicine over the previous 13 years". The paper compared the 45 studies that claimed to have uncovered effective interventions to subsequent studies with larger sample sizes: 7 (16%) of the studies were contradicted, 7 (16%) had effects that were smaller in the second study than in the first, 20 (44%) were replicated, and 11 (24%) remained largely unchallenged.<ref name="Ioannidis2005">{{cite pmid| 16014596}}</ref> |
In another 2005 paper, Ioannidis analyzed "49 of the most highly regarded research findings in medicine over the previous 13 years". The paper compared the 45 studies that claimed to have uncovered effective interventions to subsequent studies with larger sample sizes: 7 (16%) of the studies were contradicted, 7 (16%) had effects that were smaller in the second study than in the first, 20 (44%) were replicated, and 11 (24%) remained largely unchallenged.<ref name="Ioannidis2005">{{cite pmid| 16014596}}</ref> |
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He has made many other influential empirical evaluations addressing the validation and replication performance of different types of studies in diverse scientific fields, including, but not limited to, genetics<ref>{{Cite journal|title = Replication validity of genetic association studies|url = http://www.nature.com/ng/journal/v29/n3/abs/ng749.html|journal = Nature Genetics|date = 2001-11-01|issn = 1061-4036|pages = 306-309|volume = 29|issue = 3|doi = 10.1038/ng749|language = en|first = John P. A.|last = Ioannidis|first2 = Evangelia E.|last2 = Ntzani|first3 = Thomas A.|last3 = Trikalinos|first4 = Despina G.|last4 = Contopoulos-Ioannidis}}</ref>, clinical trials,<ref>{{Cite journal|title = REanalyses of randomized clinical trial data|url = http://dx.doi.org/10.1001/jama.2014.9646|journal = JAMA|date = 2014-09-10|issn = 0098-7484|pages = 1024-1032|volume = 312|issue = 10|doi = 10.1001/jama.2014.9646}}</ref> and neuroscience<ref>{{Cite journal|title = Power failure: why small sample size undermines the reliability of neuroscience|url = http://www.nature.com/nrn/journal/v14/n5/full/nrn3475.html|journal = Nature Reviews Neuroscience|date = 2013-05-01|issn = 1471-003X|pages = 365-376|volume = 14|issue = 5|doi = 10.1038/nrn3475|language = en|first = Katherine S.|last = Button|first2 = John P. A.|last2 = Ioannidis|first3 = Claire|last3 = Mokrysz|first4 = Brian A.|last4 = Nosek|first5 = Jonathan|last5 = Flint|first6 = Emma S. J.|last6 = Robinson|first7 = Marcus R.|last7 = Munafò}}</ref>. His work has also aimed to identify solutions on how to optimize research practices<ref>{{Cite journal|title = Reproducibility in science: improving the standard for basic and preclinical research|url = http://www.ncbi.nlm.nih.gov/pubmed/25552691|journal = Circulation Research|date = 2015-01-02|issn = 1524-4571|pmid = 25552691|pages = 116-126|volume = 116|issue = 1|doi = 10.1161/CIRCRESAHA.114.303819|first = C. Glenn|last = Begley|first2 = John P. A.|last2 = Ioannidis}}</ref> and to increase the yield of validated and useful scientific findings<ref>{{Cite journal|title = How to Make More Published Research True|url = http://dx.doi.org/10.1371/journal.pmed.1001747|journal = PLoS Med|date = 2014-10-21|pmc = 4204808|pmid = 25334033|pages = e1001747|volume = 11|issue = 10|doi = 10.1371/journal.pmed.1001747|first = John P. A.|last = Ioannidis}}</ref>. |
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results in the early studies performed on the same research question. He has also made a number of contributions in |
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the field of meta-analysis (the science of combining data from multiple studies |
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on the same research question) and has been President of the Society for |
the field of meta-analysis (the science of combining data from multiple studies on the same research question) and has been President of the Society for Research Synthesis Methodology. |
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Research Synthesis Methodology. |
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==See also== |
==See also== |
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Version vom 8. Oktober 2015, 19:15 Uhr
John P. A. Ioannidis (born August 21, 1965, in New York City) is a Professor of Medicine and of Health Research and Policy at Stanford University School of Medicine and a Professor of Statistics at Stanford University School of Humanities and Sciences. He is director of the Stanford Prevention Research Center, and co-director, along with Steven Goodman, of the Meta-Research Innovation Center at Stanford (METRICS).[1][2] He was chairman at the Department of Hygiene and Epidemiology, University of Ioannina School of Medicine as well as adjunct professor at Tufts University School of Medicine.[3][4] He is best known for his research and published papers on scientific studies, particularly the 2005 paper "Why Most Published Research Findings Are False".[5] Ioannidis is one of the most-cited scientists across the scientific literature, especially in the fields of clinical medicine and social sciences, according to Thomson Reuters' Highly Cited Researchers 2015.[6]
Biography
Born in New York City in 1965, Ioannidis was raised in Athens, Greece.[8] He was Valedictorian of his class at Athens College, graduating in 1984. He also graduated first in his class at the University of Athens Medical School, then attended Harvard University for his medical residency in internal medicine. He did a fellowship at Tufts University for infectious disease[9] and came to Stanford in 2010.
Research findings
Ioannidis's 2005 paper "Why Most Published Research Findings Are False"[7] has been the most downloaded technical paper from the journal PLoS Medicine.[10]
In another 2005 paper, Ioannidis analyzed "49 of the most highly regarded research findings in medicine over the previous 13 years". The paper compared the 45 studies that claimed to have uncovered effective interventions to subsequent studies with larger sample sizes: 7 (16%) of the studies were contradicted, 7 (16%) had effects that were smaller in the second study than in the first, 20 (44%) were replicated, and 11 (24%) remained largely unchallenged.[7]
He has made many other influential empirical evaluations addressing the validation and replication performance of different types of studies in diverse scientific fields, including, but not limited to, genetics[11], clinical trials,[12] and neuroscience[13]. His work has also aimed to identify solutions on how to optimize research practices[14] and to increase the yield of validated and useful scientific findings[15].
He also coined the term Proteus phenomenon for the occurrence of extreme contradictory results in the early studies performed on the same research question. He has also made a number of contributions in the field of meta-analysis (the science of combining data from multiple studies on the same research question) and has been President of the Society for Research Synthesis Methodology.
See also
References
External links
- Prevention Research Center Stanford School of Medicine
- Publications of John Ioannidis Stanford University Profile
- Increasing value and reducing waste in research design, conduct, and analysis The Lancet, Volume 383, Issue 9912, Pages 166 - 175, 11 January 2014 John P A Ioannidis, Sander Greenland, Mark A Hlatky, Muin J Khoury, Malcolm R Macleod, David Moher, Kenneth F Schulzand Robert Tibshirani
- Szgene.org, meta-analytic database of schizophrenia gene studies of which Dr. Ioannidis helped create.
- ↑ John P. A. Ioannidis. Stanford School of Medicine CAP Profiles, abgerufen am 24. Mai 2014.
- ↑ Prevention Research Center. Stanford School of Medicine, abgerufen am 24. Mai 2014.
- ↑ John P. A. Ioannidis. Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, abgerufen am 31. Dezember 2008.
- ↑ John P.A. Ioannidis: Curriculum Vitae. Abgerufen am 4. November 2010.
- ↑ John P. A. Ioannidis: Why Most Published Research Findings Are False. In: PLoS Medicine. 2. Jahrgang, Nr. 8, 1. August 2005, ISSN 1549-1277, doi:10.1371/journal.pmed.0020124, PMID 16060722, PMC 1182327 (freier Volltext) – (nih.gov).
- ↑ Home | Highly Cited Researchers. In: Highly Cited Researchers. Abgerufen am 17. September 2015.
- ↑ a b c J. P. A. Ioannidis: Why Most Published Research Findings Are False. In: PLoS Medicine. 2. Jahrgang, Nr. 8, 2005, S. e124, doi:10.1371/journal.pmed.0020124, PMID 16060722, PMC 1182327 (freier Volltext). Referenzfehler: Ungültiges
<ref>-Tag. Der Name „Ioannidis2005“ wurde mehrere Male mit einem unterschiedlichen Inhalt definiert. - ↑ John Ioannidis Harvard School of Public Health
- ↑ David H. Freedman: Wrong: Why Experts Keep Failing Us. Little, Brown and Company, 2010, ISBN 0-316-02378-7 (google.com): „Born in 1965 in the United States to parents who were both physicians, he was raised in Athens, where he showed unusual aptitude in mathematics and snagged Greece's top student math prize. ...“
- ↑ Robert Lee Hotz: Most Science Studies Appear to Be Tainted By Sloppy Analysis In: Science Journal WSJ.com, Dow Jones & Company, 14. September 2007
- ↑ John P. A. Ioannidis, Evangelia E. Ntzani, Thomas A. Trikalinos, Despina G. Contopoulos-Ioannidis: Replication validity of genetic association studies. In: Nature Genetics. 29. Jahrgang, Nr. 3, 1. November 2001, ISSN 1061-4036, S. 306–309, doi:10.1038/ng749 (englisch, nature.com).
- ↑ REanalyses of randomized clinical trial data. In: JAMA. 312. Jahrgang, Nr. 10, 10. September 2014, ISSN 0098-7484, S. 1024–1032, doi:10.1001/jama.2014.9646 (doi.org).
- ↑ Katherine S. Button, John P. A. Ioannidis, Claire Mokrysz, Brian A. Nosek, Jonathan Flint, Emma S. J. Robinson, Marcus R. Munafò: Power failure: why small sample size undermines the reliability of neuroscience. In: Nature Reviews Neuroscience. 14. Jahrgang, Nr. 5, 1. Mai 2013, ISSN 1471-003X, S. 365–376, doi:10.1038/nrn3475 (englisch, nature.com).
- ↑ C. Glenn Begley, John P. A. Ioannidis: Reproducibility in science: improving the standard for basic and preclinical research. In: Circulation Research. 116. Jahrgang, Nr. 1, 2. Januar 2015, ISSN 1524-4571, S. 116–126, doi:10.1161/CIRCRESAHA.114.303819, PMID 25552691 (nih.gov).
- ↑ John P. A. Ioannidis: How to Make More Published Research True. In: PLoS Med. 11. Jahrgang, Nr. 10, 21. Oktober 2014, S. e1001747, doi:10.1371/journal.pmed.1001747, PMID 25334033, PMC 4204808 (freier Volltext) – (doi.org).